| The research of Economic starts from qualitative analysis. But as the methods of mathematics, informatics, physics and chemistry being introduced in economic fields, the research emphasizes upon the quantitative analysis. These changes cause the theory of finance system being developed in the same time. People mostly think the law of economic system is non-line and disequilibrium. So they build a bridge qualitative analysis to quantitative analysis in virtue of lots of disequilibrium equations and multi-object linear programming equations. The motility of finance system is thought as something just root in physical and chemic power.By the research goes deeper, people recognize the whole economic system is a part of the inner structure of social economic. The system connect and link every parts of economic departments. The modern finance system is not a simple system which looks close, mechanical and linear. It is a complex system with the property of exoteric, adaptive and non- linear. Being faced such a huge and complex macroscopical finance system, we have cognizance that we should not just use the traditional mathematic, physics and chemistry approach in this field, but also we can employ the analysis approach of complex system to work over the modern finance system. In a word, we should study the finance system in a systemic viewpoint and means.In this paper ,we study finance system by using CAS viewpoint to describe agents' selection, competition, and adaptive behaviors in resource shortage, and the evolution of institutions as a whole. Agents interact each other by local information and relatively simple reinforcement algorithms, and new data are collected from the environment and processed, which change the internal model of the agent in the end. Research evinces that simple adaptive behaviors of individuals can lead to complex system characteristics in higher level.As these viewpoints supported , theories of information economics and multi-agent system are adopted as analysis frame for this paper, with Swarm as the simulation tool. Swarm is a software package for multi-agent simulation of complex systems being developed at the Santa Fe Institute, which has been a useful tool for researchers in a variety of disciplines, especially artificial life. In such way we can connect the microcosmic finance system to a macroscopical world. Then the quantitative analysis based on the theory of adaptive complex system can be done in this way.In this paper,the main content includes,the introduce of Swarm (installation , development, debugging and analysis), evaluating of develop environment of both Java and Object C, building a finance system Swarm model (how to build a Swarm model step by step, the main idea of building Swarm model, the class libraries of Swarm), combining qualitative analysis with quantitative analysis to research the phenomenon of the finance system. Finally, try to build a warning system based on finance system Swarm model.This research helps to explain the universal finance system phenomenon in real world, and the evolution of finance system and institutions. Above all, multiagent simulation used in this paper offered a quite new perspective in research of complex social-economic phenomena. |
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